Double - DeepSeek R1, OpenAI o1, Sonnet, and more

Generates code suggestions as the user types in the editor, with support for multiple cursor positions and mid-line completions. The extension monitors keystroke events in real-time, sends the current file context and cursor position to a cloud-based AI model (OpenAI o1, DeepSeek R1, Claude Sonnet, or Llama variants), and streams back suggestions that appear inline without interrupting the editing flow. Suggestions are accepted via Tab key and automatically include relevant imports for functions, variables, and libraries based on the detected language and project context.

Provides a persistent chat panel (accessed via Cmd+M / Ctrl+M) where developers can send free-form prompts to generate code, explain existing code, write tests, add documentation, or analyze code quality. The chat accepts the current file as context and allows explicit code selection via Cmd+Shift+M / Ctrl+Shift+M to focus AI analysis on specific code blocks. Responses are streamed back as formatted text with syntax highlighting for code blocks, enabling iterative refinement through follow-up questions.

Displays AI-generated code changes in a side-by-side or unified diff format, allowing developers to review additions, deletions, and modifications before accepting them. The extension highlights changes with color coding (additions in green, deletions in red) and provides accept/reject controls for each suggestion, enabling careful review of multi-line edits or refactoring suggestions before they are applied to the file.

Allows developers to choose from 7+ AI models (OpenAI o1, GPT-4o, DeepSeek R1, Claude 3.5 Sonnet, Claude 3 Opus, Llama 3.1 405B/70B/8B) for both autocomplete and chat features. The extension abstracts away model-specific API differences and routing, enabling users to switch models without changing configuration or restarting the editor. Model selection mechanism (per-query, per-session, or global setting) is not documented, but the capability enables cost-quality trade-offs and experimentation with latest reasoning models.

Analyzes the current file's coding style, naming conventions, indentation, and language-specific patterns to generate suggestions that match the developer's existing code style. The extension examines the file's syntax tree or token stream to infer conventions (camelCase vs snake_case, tabs vs spaces, comment style, import organization) and instructs the AI model to generate suggestions conforming to these patterns. This reduces the need for manual formatting or style corrections after accepting AI suggestions.

Detects when AI-generated code references external functions, classes, or libraries and automatically generates the necessary import statements. The extension analyzes the generated code's identifiers, matches them against the project's available dependencies (inferred from package.json, requirements.txt, or similar), and inserts import statements at the appropriate location in the file. This eliminates the manual step of adding imports after accepting AI suggestions.

Allows developers to delegate code editing tasks to the AI, which generates and applies changes directly to the file. The mechanism is described as 'delegate your edits' but implementation details are not documented. Likely works by accepting a natural language instruction (via chat or command), generating modified code, and applying it to the selected code block or file. Changes are shown in diff format for review before being committed.

Provides dedicated keybindings (Cmd+M / Ctrl+M for chat, Cmd+Shift+M / Ctrl+Shift+M for passing selected code) that enable developers to invoke AI features without using the mouse or navigating menus. Selected code is automatically passed as context to the chat interface, reducing the friction of copy-pasting code into prompts. This design pattern prioritizes keyboard-driven workflows common in developer tools.

Offers free access to basic features (likely autocomplete and limited chat) with optional paid tiers for premium models or higher usage limits. The extension uses cloud-hosted AI models (OpenAI, Anthropic, DeepSeek, Meta) rather than local inference, meaning all processing happens on Double's servers or partner APIs. This architecture enables access to latest models without requiring local GPU resources, but introduces dependency on external services and potential latency.